odmfclient 0.1.1

A Python client for ODMF's REST-API

API client for ODMF

This package allows programatic access to ODMF databases with Python. It is based on requests.

The code is found on Github under a free license .

Installation

From PyPI (current version): using pip

pip install odmfclient

In an IPython console (eg in Spyder) you can use the same command with

%pip install odmfclient

To install the newest version from github do:

pip install https://github.com/jlu-ilr-hydro/odmfclient/archive/main.zip

For other branches then main use the above command as .../archive/<branch>.zip

Usage

Direct access to ODMF

from odmfclient import login
with login('https://path/to/odmf', 'user', 'password') as api:
    print(api)
    # Get all datasets at site #1 with valuetype 1
    datasets = api.dataset.list(site=1, valuetype=1)
    # Get values for the first dataset found as pandas.DataFrame
    df = api.dataset.values_parquet(dsid=datasets[0])

Access ODMF behind an reverse proxy requiring authentification

At JLU, we are protecting our ODMF instances behind a reverse proxy (Apache) requiring basic authentification for access from outside the universities network using shared credentials. Of course, any other authentification at your reverse proxy with a requests method is possible. To access such an instance, where the shared credentials for basic authentification is basic-user and basic-password:

from odmfclient import login
from requests.auth import HTTPBasicAuth

basic_auth = HTTPBasicAuth('basic-user', 'basic-password')

with login('https://path/to/odmf', 'user', 'password', session_auth=basic_auth) as api:
    print(api)
    # Get all datasets at site #1 with valuetype 1
    datasets = api.dataset.list(site=1, valuetype=1)
    # Get values for the first dataset found as pandas.DataFrame
    df = api.dataset.values_parquet(dsid=datasets[0])